Q. What is one of the challenges faced by adaptive help systems in interpreting user interaction data?

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Q. How does an adaptive help system determine the help to present to a user?

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Q. What potential concern arises from the adaptivity of a help system?

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Q. What is the purpose of a user model in an interactive system?

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Q. Which approach allows the user to customize the system based on their preferences?

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Q. What is a potential drawback of getting the user to choose an initial default model?

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Q. What is a common approach to dealing with the setup time required for automatic user modeling?

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Q. How are user models constructed and maintained in adaptive help systems?

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Q. What is the main purpose of quantification in user modeling?

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Q. How does the system respond when a user's score exceeds a certain threshold in the quantification approach?

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Q. What is the main advantage of using stereotypes for automatic user modeling?

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Q. How are stereotypes typically built in an adaptive help system?

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Q. Why are stereotypes particularly useful in adaptive help systems?

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Q. What is the main advantage of using overlay models in adaptive help systems?

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Q. How do error-based models contribute to adaptive help systems?

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Q. What is one of the challenges of representing user tasks through command sequences in adaptive help systems?

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Q. How do assistants and agents use task recognition in adaptive help systems?

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Q. What advantage does modeling advisory or tutorial strategies bring to adaptive help systems?

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Q. What are some strategies that human experts use when advising colleagues?

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Q. Why is modeling advisory strategy challenging for adaptive help systems?

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